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phenofit  

Extract Remote Sensing Vegetation Phenology
View on CRAN: Click here


Download and install phenofit package within the R console
Install from CRAN:
install.packages("phenofit")

Install from Github:
library("remotes")
install_github("cran/phenofit")

Install by package version:
library("remotes")
install_version("phenofit", "0.3.9")



Attach the package and use:
library("phenofit")
Maintained by
Dongdong Kong
[Scholar Profile | Author Map]
First Published: 2019-02-18
Latest Update: 2023-02-15
Description:
The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.3.1, ; Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636. ; Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 155, 13
How to cite:
Dongdong Kong (2019). phenofit: Extract Remote Sensing Vegetation Phenology. R package version 0.3.9, https://cran.r-project.org/web/packages/phenofit. Accessed 08 May. 2025.
Previous versions and publish date:
0.2.0 (2019-02-18 12:50), 0.2.3 (2019-05-23 20:00), 0.2.4 (2019-05-24 09:50), 0.2.5-2 (2019-06-07 10:00), 0.2.7 (2020-04-02 13:40), 0.3.2 (2021-10-15 12:50), 0.3.6 (2022-11-03 09:26), 0.3.7 (2022-11-07 12:40), 0.3.8 (2023-02-15 10:50)
Other packages that cited phenofit R package
View phenofit citation profile
Other R packages that phenofit depends, imports, suggests or enhances
Complete documentation for phenofit
Functions, R codes and Examples using the phenofit R package
Some associated functions: CA_NS6 . D . FitDL . GOF . I_optim . MOD13A1 . PhenoDeriv . PhenoGu . PhenoKl . PhenoTrs . R2_sign . add_HeadTail . brks2rfit . check_GS_HeadTail . check_input . check_ylu . curvefit . curvefit0 . curvefits . curvefits_LocalModel . cutoff . cv_coef . fFIT . fFITs . f_goal . f_goal2 . find_season.peaks . findpeaks . getRealDate . get_GOF . get_fitting . get_param . get_pheno . init_lambda . init_param . input_single . kurtosis . lambda_vcurve . logistic . logistics . melt_list . movmean . opt_FUN . optim_pheno . phenofit . plot_curvefits . plot_input . plot_phenofit . plot_season . process_phenofit . process_season . qcFUN . qc_levels . qc_sentinel2 . rcpp_season_filter . rcpp_wSG . reexports . removeClosedExtreme . roughFit . season . season_input . season_mov . set_options . smooth_wHANTS . smooth_wSG . smooth_wWHIT . tidy_MOD13 . tidy_pheno . v_curve . wFUN . whit2 . 
Some associated R codes: D.R . I_optim.R . PhenoDeriv.R . PhenoGu.R . PhenoKl.R . PhenoTrs.R . RcppExports.R . S3_fFITs.R . add_HeadTail.R . check_input.R . coefficients.R . curvefit.R . curvefits.R . curvefits_LocalModel.R . deprecated_season.R . derivs.R . doubleLogistics-init_param.R . doubleLogistics_R.R . doubleLogistics_cpp.R . doubleLogistics_fitting.R . f_goal.R . findpeaks.R . get_GOF.R . get_fitting.R . get_param.R . get_pheno.R . global_data.R . global_options.R . global_vars.R . init_lambda.R . make_legend.R . opt_FUN.R . opt_nlminb.R . optim_pheno.R . phenofit-package.R . plot_curvefits.R . plot_input.R . plot_phenofit.R . plot_season.R . process_phenofit.R . process_season.R . qcFUN.R . roughFit.R . season_input.R . season_mov.R . season_tools.R . smooth_wHANTS.R . smooth_wSG.R . smooth_wWHIT.R . smooth_wWHIT_lambda.R . tidy_MODIS.R . tools.R . tools_plyr.R . wFUN.R .  Full phenofit package functions and examples
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